GITNUX MARKETDATA REPORT 2024

Ai In The Cosmetics Industry Statistics

AI is expected to revolutionize the cosmetics industry by providing personalized product recommendations, enhancing product development, and streamlining processes such as customer service and marketing.

Highlights: Ai In The Cosmetics Industry Statistics

  • The AI related industry in cosmetics has been predicted to reach the market volume of USD 7.3 billion by 2023.
  • 85% of cosmetics company users prefer interacting with virtual assistants when shopping.
  • Olay, a cosmetic brand, saw a 20% increase in basket size with the introduction of AI.
  • 53% of beauty clients predict AI to have a significant impact on personalized beauty product recommendations.
  • Sephora's AI-enabled app has resulted in an 11 times increase in booking rates for their in-store service.
  • In 2021, L'Oréal expanded its AI-powered virtual makeup try-on technology to include lipstick and eyeshadow via Instagram.
  • About 37% of brands are very likely to invest heavily in AI for beauty tech in the next five years.
  • 50% of customers between 25 and 34 years would utilize AI to provide beauty advice if available.
  • Revenue from AI in the fashion and beauty industry is expected to reach $2.5 billion by 2024.
  • 69% of consumers in the U.S. aged 18-34 state that they would feel more loyal to a brand that offered them personalized, AI-curated product suggestions.
  • 65% of AI applications in the consumer product space, which includes the cosmetics industry, are related to analytics.
  • With the help of AI, the lipstick color-matching success rate for a Chinese cosmetics brand was over 90%.
  • 75% of executives from the fashion, beauty, and consumer markets, including cosmetics, expressed optimism that AI technology could help to improve their products and services.
  • AI use increased by 270% from 2015 to 2019 in the beauty industry.

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The Latest Ai In The Cosmetics Industry Statistics Explained

The AI related industry in cosmetics has been predicted to reach the market volume of USD 7.3 billion by 2023.

The statistic indicates a forecast of the market volume for the artificial intelligence (AI) related industry in the cosmetics sector, expecting it to grow to USD 7.3 billion by the year 2023. This suggests a significant increase in the utilization of AI technologies within the cosmetics industry, likely driven by advancements in areas such as personalized recommendations, virtual try-on capabilities, and enhanced product development processes. The projected growth reflects industry recognition of the potential benefits and competitive advantages that AI can bring to the cosmetics market, including improved customer experiences, operational efficiencies, and innovative product offerings. This statistic underscores the continued integration of cutting-edge technologies like AI into traditional sectors to drive growth and innovation.

85% of cosmetics company users prefer interacting with virtual assistants when shopping.

The statistic “85% of cosmetics company users prefer interacting with virtual assistants when shopping” indicates that a significant majority of individuals who use cosmetic products prefer to engage with virtual assistants as opposed to human representatives when making purchasing decisions. This high preference for virtual assistants suggests that consumers find value in the convenience, efficiency, and personalized experience provided by automated systems when shopping for cosmetic products. The data highlights the trend towards the integration of technology in the retail industry and the growing acceptance of virtual assistants as a preferred method of customer interaction in the cosmetics sector.

Olay, a cosmetic brand, saw a 20% increase in basket size with the introduction of AI.

The statistic “Olay, a cosmetic brand, saw a 20% increase in basket size with the introduction of AI” indicates that Olay experienced a significant improvement in the average value of purchases made by customers after implementing artificial intelligence technology. This increase in basket size signifies that customers are buying more products per transaction, suggesting that the AI implementation has had a positive impact on driving sales and increasing customer engagement. The use of AI likely allowed Olay to better understand customer behavior, personalize recommendations, and optimize pricing strategies, ultimately leading to a higher average purchase value. Overall, the statistic highlights the effectiveness of leveraging AI technology in enhancing the customer shopping experience and driving revenue growth for the cosmetic brand Olay.

53% of beauty clients predict AI to have a significant impact on personalized beauty product recommendations.

The statistic indicates that a majority of beauty clients, specifically 53%, anticipate that artificial intelligence (AI) will play a substantial role in shaping personalized beauty product recommendations in the future. This suggests that clients believe AI technology has the potential to revolutionize the way beauty products are recommended and tailored to individual preferences and needs. The high percentage of clients expressing this prediction reflects a growing awareness and acceptance of the impact of AI in the beauty industry, signaling a shift towards more sophisticated and data-driven approaches to personalized product recommendations.

Sephora’s AI-enabled app has resulted in an 11 times increase in booking rates for their in-store service.

The statistic indicates that Sephora’s use of an AI-enabled app has led to a significant 11 times increase in the rate at which customers are booking appointments for their in-store services. This implies that the implementation of artificial intelligence technology has had a substantial positive impact on the company’s business outcomes by boosting customer engagement and enhancing the overall customer experience. The sharp rise in booking rates suggests that the app’s AI features may be effectively streamlining the booking process, making it more convenient and appealing for customers to schedule appointments for Sephora’s in-store services. Overall, this statistic highlights the successful utilization of AI technology by Sephora to drive business growth and customer satisfaction through increased booking rates.

In 2021, L’Oréal expanded its AI-powered virtual makeup try-on technology to include lipstick and eyeshadow via Instagram.

The statistic indicates that in 2021, L’Oréal extended its utilization of artificial intelligence (AI) technology to enable customers to virtually try on lipstick and eyeshadow through Instagram. This expansion likely signifies L’Oréal’s commitment to incorporating advanced technological innovations into its beauty products and customer experiences. By introducing virtual makeup try-on features, L’Oréal is aiming to enhance the online shopping experience, allowing customers to visualize how different lipstick and eyeshadow shades would look on them before making a purchase. This move aligns with the growing trend of digital transformation in the beauty industry, showcasing L’Oréal’s efforts to stay competitive and cater to evolving consumer preferences for personalized, interactive shopping experiences.

About 37% of brands are very likely to invest heavily in AI for beauty tech in the next five years.

The statistic that about 37% of brands are very likely to invest heavily in AI for beauty tech in the next five years signifies a significant trend towards the integration of artificial intelligence technology within the beauty industry. This finding highlights a growing recognition among brands of the potential benefits that AI can offer in enhancing product development, customer experience, and marketing strategies within the beauty sector. The increasing adoption of AI in beauty tech indicates a shift towards more advanced and personalized approaches to beauty products and services, reflecting a commitment to innovation and staying competitive in a rapidly evolving market landscape.

50% of customers between 25 and 34 years would utilize AI to provide beauty advice if available.

This statistic indicates that among customers aged between 25 and 34 years old, 50% would be interested in utilizing artificial intelligence (AI) technology to receive beauty advice if it was offered to them. This suggests a significant level of potential interest and acceptance of AI in the beauty industry among this particular age group. The finding highlights the growing trend of integrating technology into personalized beauty services and reflects the willingness of consumers within this demographic to engage with AI-driven solutions for their beauty needs. This insight can be valuable for businesses in the beauty sector looking to innovate and cater to the preferences of their target audience.

Revenue from AI in the fashion and beauty industry is expected to reach $2.5 billion by 2024.

The statistic mentioning that revenue from artificial intelligence (AI) in the fashion and beauty industry is projected to reach $2.5 billion by 2024 indicates the significant growth and adoption of AI technologies within these industries. AI is being increasingly leveraged in areas such as personalized shopping experiences, virtual try-on tools, trend forecasting, and targeted marketing campaigns, leading to improved efficiency, customer satisfaction, and competitiveness. The estimated revenue figure serves as a strong indicator of the potential economic impact and value that AI-driven innovations are expected to bring to the fashion and beauty sectors in the near future, highlighting the growing importance of technology in shaping consumer experiences and industry trends.

69% of consumers in the U.S. aged 18-34 state that they would feel more loyal to a brand that offered them personalized, AI-curated product suggestions.

The statistic reveals that a significant majority of consumers in the U.S. aged 18-34 value personalized, AI-curated product suggestions as a key factor influencing their brand loyalty. Specifically, 69% of this demographic indicate that they would feel more loyal to a brand that provides them with such recommendations. This suggests that younger consumers are increasingly seeking tailored and customized experiences from brands, and are willing to reward companies that leverage artificial intelligence to deliver personalized product suggestions. Brands that understand and incorporate this preference into their marketing and customer engagement strategies have an opportunity to enhance customer loyalty and drive business growth among this tech-savvy and digitally-native consumer segment.

65% of AI applications in the consumer product space, which includes the cosmetics industry, are related to analytics.

This statistic indicates that a majority (65%) of artificial intelligence (AI) applications within the consumer product sector, specifically within the cosmetics industry, are focused on analytics. This suggests that companies in the cosmetics industry are leveraging AI technology primarily for data analysis and deriving insights from the vast amount of consumer and market data available to them. By utilizing AI for analytics purposes, companies can make data-driven decisions, improve customer targeting and personalization, optimize product offerings, and enhance overall business strategies. This statistic highlights the growing trend of integrating AI into consumer product industries like cosmetics to drive more effective and efficient decision-making processes.

With the help of AI, the lipstick color-matching success rate for a Chinese cosmetics brand was over 90%.

The statistic indicates that, with the assistance of artificial intelligence technology, a Chinese cosmetics brand achieved a high success rate of over 90% in matching lipstick colors. This likely means that the AI system was effective in accurately recommending lipstick shades that matched customers’ individual preferences, skin tones, or other factors. The high success rate suggests that the technology was able to analyze large amounts of data to make personalized and accurate recommendations, ultimately enhancing the customer experience and potentially boosting sales for the cosmetics brand.

75% of executives from the fashion, beauty, and consumer markets, including cosmetics, expressed optimism that AI technology could help to improve their products and services.

The statistic indicates that a significant majority (75%) of executives working in the fashion, beauty, and consumer markets, specifically in industries such as cosmetics, hold an optimistic outlook concerning the potential of artificial intelligence (AI) technology to enhance their respective products and services. This finding suggests that these industry leaders are open to exploring and utilizing AI-driven solutions to innovate and improve their offerings, potentially leading to advancements in areas such as product development, customer experience enhancements, and operational efficiency within their sectors. The high level of optimism expressed by these executives signals a growing recognition of the transformative power that AI technology can bring to their industries, paving the way for increased adoption and integration of AI-driven technologies in the future.

AI use increased by 270% from 2015 to 2019 in the beauty industry.

The statistic that AI use increased by 270% from 2015 to 2019 in the beauty industry indicates a significant growth in the adoption of artificial intelligence technologies within that sector. This increase suggests that beauty companies are leveraging AI tools and applications at a much higher rate in the specified time period. The rise in AI use could be attributed to the industry’s recognition of the benefits that AI can bring, such as improving product recommendations, personalizing customer experiences, streamlining operations, and creating more efficient marketing strategies. The substantial percentage increase underscores the industry’s embrace of innovative technologies to stay competitive and meet evolving consumer demands in the ever-changing landscape of the beauty market.

References

0. – https://www.www.cosmeticsdesign.com

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4. – https://www.www.emarketer.com

5. – https://www.www.businessinsider.com

6. – https://www.www.warc.com

7. – https://www.www.retaildive.com

8. – https://www.marketingland.com

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11. – https://www.www.beautypackaging.com

12. – https://www.www.datanami.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

See our Editorial Process.

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